We analyze the relationship between insurers' liquidity creation and reinsurance demand. Early theoretical contributions on liquidity creation propose that financial institutions enhance economic growth by creating liquidity in the economy. Liquidity creation means financing relatively illiquid...

Longevity risk arising from uncertain mortality improvement is one of the major risks facing annuity providers and pension funds. In this paper we show how applying trend models from non-life claims reserving to age-period-cohort mortality trends provides new insight in estimating mortality...

This paper studies the dependence between coupled lives - both within and across generations - and its effects on prices of reversionary annuities in the presence of longevity risk. Longevity risk is represented via a stochastic mortality intensity. Dependence is modelled through copula...

We analyze the Solvency II standard formula (SF) for capital risk aggregation in relation to the treatment of operational risk (OR) capital. We show that the SF implicitly assumes that the correlation between OR and the other risks is very high, a situation which seems to be at odds with both,...

Longevity risk arising from uncertain mortality improvement is one of the major risks facing annuity providers and pension funds. In this paper we show how applying trend models from non-life claims reserving to age-period-cohort mortality trends provides new insight in estimating mortality...

Correlations between claims in insurers lines of business may change results obtained on claims reserving. Here we develop univariate and multivariate generalized link ratios to port-folio data, that is estimating several triangles at the same time with correspondent correla-tions. Two options...

We study non-life insurance pricing and present a general procedure for constructing a distribution-free locally unbiased predictor of the risk premium based on any initially suggested predictor. The resulting predictor is piecewise constant, corresponding to a partition of the covariate space,...

In the machine learning community, the Gini index is a very popular score for model selection, and it is also used in actuarial science for evaluating insurance pricing models. The purpose of this tutorial is to discuss the Gini index, both its version in economics and its version in machine...

This tutorial gives an overview of SHAP (SHapley Additive exPlanation), one of the most commonly used techniques for examining a black-box machine learning (ML) model. Besides providing the necessary game theoretic background, we show how typical SHAP analyses are performed and used to gain...

The study develops the methodology for a copula-based weather index insurance rating. As the copula approach is better suited for modeling tail dependence than the standard linear correlation method, we suppose that copulas are more adequate for pricing a weather index insurance contract against...